--- title: 'Senior Engineer at Blenheim Chalcot India' canonical: 'https://feeny.ai/job/senior-engineer-blenheim-chalcot-india-mumbai-rn5fjyes59bs' type: 'job' last_seen: '2026-09-07' --- # Senior Engineer at Blenheim Chalcot India - **Company:** Blenheim Chalcot India - **Location:** Mumbai, India - **Posted:** 2025-06-03 - **Last confirmed live:** 2026-09-07 - **Apply:** https://job-boards.greenhouse.io/blenheimchalcotindia/jobs/6944022 ## Job description We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment. If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you. About Blenheim Chalcot: Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The Role: As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on. Key Responsibilities: Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include. - Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. - Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. - Provide technical guidance and expertise to the team, promoting best practices in engineering. - Collaborate with cross-functional teams to understand requirements and deliver effective solutions. - Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. - Ensure data integrity and quality across various data sources. - Support data-driven decision-making by providing clean, reliable, and timely data. - Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. - Conduct exploratory data analysis to uncover patterns and trends. - Identify opportunities for process improvement and drive continuous improvement in operations. - Stay updated on industry trends, technologies, and best practices in engineering. About You: We are seeking to onboard candidates with a track record of leading complex delivery, demonstrating technical depth and pragmatic leadership. You’re hands‑on when it matters, coach others effectively, and make clear design trade‑offs that improve customer and business outcomes. You communicate crisply, collaborate across functions, and keep teams focused on the few things that move the needle. The Ideal Candidate: - Professional experience in full-stack software engineering with evidence of architecting and delivering production systems at scale. - Proven experience mentoring and developing engineers and raising code quality standards. - Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java. - Extensive experience with database systems, including SQL and NoSQL databases. - In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). - Experience with CI/CD practices for data solutions. - Experience leveraging AI tools (GitHub Copilot, Claude etc) and building AI-enabled features (e.g., LLMs, automation workflows, prompt engineering, AI-assisted development) to enhance product capabilities and engineering productivity. - Proven ability to take ownership over outputs and drive complex data projects to completion. - Highly adaptable and comfortable working in ambiguous, problem-solving environments. - Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales. - Excellent communication, leadership, and collaboration skills. Behaviours that we look for - Rigorous problem-solving and systems thinking. Breaks down complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures. - Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start. - Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring. - Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery. - Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact. Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with our Talent Acquisition team and a member of the Engineering Centre of Excellence, followed by further interviews with the Engineering Centre of Excellence team. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai. ## #LI-PS1 ## About Blenheim Chalcot India ## Company Overview - **One-liner**: Blenheim Chalcot India is the Mumbai-based arm of Blenheim Chalcot, a global AI-powered venture builder that conceives, builds, and scales technology companies from idea to exit. - **Entity Type**: Private (venture builder; no publicly disclosed Series/funding round as it is self-funded until growth stage) - **Headquarters**: Mumbai, Maharashtra, India - **Founded**: 2014 (Blenheim Chalcot itself was founded in 1998 in the UK) - **Founders**: Not publicly available for the India entity; Blenheim Chalcot was originally founded by the team behind net decisions. ## Core Business - **Primary industry**: Venture building / technology incubation, with a focus on enterprise SaaS products powered by Generative AI. - **Target customers**: Portfolio ventures serve B2B markets across FinTech, EdTech, GovTech, Media, Health, and Sports. The builder itself supports entrepreneurs and co-founders. - **Mission statement**: To be a great place for great people to become great entrepreneurs. ## Products & Services Blenheim Chalcot India does not sell a single product; it builds ventures. Its service is the venture-building platform itself: - **Venture Building Platform**: Full-stack support including idea validation (EVO process), Product Operating Model, tech infrastructure, business building functions (HR, Finance, Legal, Marketing), and access to the Centre for GenAI Innovation. - **Portfolio Companies**: Examples include Modulr (payments), Fospha (marketing analytics), Agilisys (digital services), and many others. The India office provides scaling capability and technical expertise for these ventures. ## Market Standing - **Valuation**: Not disclosed as a private entity. Blenheim Chalcot’s portfolio manages assets exceeding £1.8 billion and has generated over £500 million in sales. - **Key Metric**: Annual Revenue (Blenheim Chalcot India) reported as $1B+ (likely reflects group-level revenue; 209 employees as of mid-2026). - **Notable Investors/Partners**: Self-funded until growth stage; partners include Imperial College London (Scale Space), strategic external investors at later stages. - **Growth Signals**: Headcount declined 39.9% YoY (209 employees vs. ~378 previously). Active job postings up 266.7% quarterly (11 jobs), suggesting a re-hiring phase. Operates in 6 countries. ## Competitive Advantages - **Venture builder model** (not just VC): invests capital, infrastructure, and operational expertise simultaneously. - **26+ years of experience** and a proven track record of building “gazelles” (20%+ annual revenue growth companies). - **Centre for GenAI Innovation**: dedicated R&D to embed generative AI across portfolio companies. - **Global footprint**: London (200,000 sq ft), Mumbai, and US offices, enabling scale-up across markets. ## Strategic Focus - Continuing to build enterprise SaaS ventures driven by Generative AI, targeting industries undergoing regulatory or technological disruption. - Expanding the “Product Operating Model” to accelerate time-to-market. - Investing in talent through programmes like RedTeam (training), Pioneers (experienced professionals), and Graduate schemes. ## Why Work Here - **Culture**: Described as fast-paced, electric, data-centric yet human-first, fun, and open-minded. “Think of us as Silicon Valley with an Indian twist.” - **Growth opportunities**: Bespoke career programmes (Pioneers, Graduates, Portfolio Impact Managers) designed to turn high-potential employees into future leaders of ventures. - **Work environment**: Hybrid? Not explicitly stated; offices in Mumbai and Pune (India), plus US and UK. Roles listed are Mumbai/Pune-based. - **Perks & Engineering Culture**: Exposure to cutting-edge GenAI, multiple tech stacks (Java, Python, GKE, AWS, etc.), and the chance to work on industry-transforming projects across different ventures. ## Sources 1. [Greenhouse Jobs](http://job-boards.greenhouse.io/blenheimchalcotindia) 2. [LinkedIn Page](https://in.linkedin.com/company/blenheimchalcotindia) 3. [Blenheim Chalcot About Us](https://blenheimchalcot.com/about-us) 4. [Blenheim Chalcot Careers](https://blenheimchalcot.com/careers) 5. 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